Clasificaciones 2026

Peor infraestructura: Mississippi — Clasificaciones 2026

Última actualización: 4 de junio de 2026

484 códigos postales clasificados por Pipe Failure Risk N.º 1: código postal 39210 (Jackson, MS) — 74%

Out of 484 ZIP codes with infrastructure data in Mississippi, these areas face the highest estimated risk of water pipe failure based on infrastructure age, funding gaps, and violation history.

Statistic Value
ZIP codes ranked 484
Highest risk 74%
Median risk 35%
Average risk 35%
State Mississippi

Top 100 Highest Risk ZIP Codes

Rank ZIP Code City State Pipe Failure Risk Risk Level Safety Score
1 39210 Jackson MS 74% Very High 66/100
2 39202 Jackson MS 62% Very High 60/100
3 39213 Jackson MS 60% High 55/100
4 39203 Jackson MS 59% High 65/100
5 38614 Clarksdale MS 58% High 68/100
6 39204 Jackson MS 58% High 60/100
7 39206 Jackson MS 58% High 55/100
8 39209 Jackson MS 58% High 55/100
9 39216 Jackson MS 57% High 60/100
10 38963 Tutwiler MS 56% High 68/100
11 39212 Jackson MS 56% High 55/100
12 38772 Scott MS 55% High 89/100
13 39211 Jackson MS 55% High 50/100
14 39406 Hattiesburg MS 54% High 71/100
15 38723 Avon MS 52% High 73/100
16 39477 Sandersville MS 51% High 85/100
17 38646 Marks MS 50% High 75/100
18 38725 Benoit MS 50% High 79/100
19 39193 Whitfield MS 50% High 89/100
20 38721 Anguilla MS 49% High 69/100
21 39115 Midnight MS 49% High 66/100
22 39201 Jackson MS 49% High 55/100
23 39120 Natchez MS 48% High 81/100
24 39567 Pascagoula MS 48% High 73/100
25 38701 Greenville MS 47% High 78/100
26 38703 Greenville MS 47% High 73/100
27 38730 Boyle MS 47% High 80/100
28 38760 Metcalfe MS 47% High 94/100
29 38767 Rena Lara MS 47% High 89/100
30 39352 Porterville MS 47% High 98/100
31 38643 Lambert MS 46% High 88/100
32 38762 Mound Bayou MS 46% High 89/100
33 38774 Shelby MS 46% High 94/100
34 38967 Winona MS 46% High 97/100
35 39153 Raleigh MS 46% High 75/100
36 39162 Satartia MS 46% High 86/100
37 39401 Hattiesburg MS 46% High 52/100
38 39440 Laurel MS 46% High 73/100
39 39563 Moss Point MS 46% High 73/100
40 39581 Pascagoula MS 46% High 73/100
41 39668 Union Church MS 46% High 93/100
42 38751 Indianola MS 45% High 86/100
43 38753 Inverness MS 45% High 94/100
44 38878 Vardaman MS 45% High 53/100
45 38921 Charleston MS 45% High 76/100
46 39307 Meridian MS 45% High 74/100
47 39363 Stonewall MS 45% High 88/100
48 39461 Neely MS 45% High 93/100
49 39630 Bude MS 45% High 89/100
50 38738 Parchman MS 44% High 85/100
51 38746 Gunnison MS 44% High 77/100
52 38771 Ruleville MS 44% High 89/100
53 39367 Waynesboro MS 44% High 85/100
54 38623 Darling MS 43% High 94/100
55 39078 Georgetown MS 43% High 65/100
56 39159 Rolling Fork MS 43% High 79/100
57 39332 Hickory MS 43% High 87/100
58 39652 Magnolia MS 43% High 83/100
59 39654 Monticello MS 43% High 77/100
60 39769 Sturgis MS 43% High 93/100
61 38622 Crowder MS 42% High 94/100
62 38732 Cleveland MS 42% High 84/100
63 38737 Drew MS 42% High 86/100
64 38804 Tupelo MS 42% High 77/100
65 38843 Fulton MS 42% High 98/100
66 38851 Houston MS 42% High 71/100
67 38876 Tremont MS 42% High 98/100
68 38915 Bruce MS 42% High 80/100
69 38916 Calhoun City MS 42% High 81/100
70 38922 Coffeeville MS 42% High 93/100
71 38950 Philipp MS 42% High 93/100
72 39041 Bolton MS 42% High 89/100
73 39073 Florence MS 42% High 65/100
74 39111 Magee MS 42% High 63/100
75 39180 Vicksburg MS 42% High 74/100
76 39301 Meridian MS 42% High 74/100
77 39648 Mccomb MS 42% High 82/100
78 39653 Meadville MS 42% High 93/100
79 39730 Aberdeen MS 42% High 81/100
80 39747 Kilmichael MS 42% High 98/100
81 38603 Ashland MS 41% High 94/100
82 38674 Tiplersville MS 41% High 85/100
83 38720 Alligator MS 41% High 89/100
84 38756 Leland MS 41% High 83/100
85 38759 Merigold MS 41% High 89/100
86 38761 Moorhead MS 41% High 87/100
87 38768 Rome MS 41% High 93/100
88 38901 Grenada MS 41% High 76/100
89 38924 Cruger MS 41% High 94/100
90 38965 Water Valley MS 41% High 85/100
91 39038 Belzoni MS 41% High 78/100
92 39062 D Lo MS 41% High 65/100
93 39067 Ethel MS 41% High 92/100
94 39071 Flora MS 41% High 83/100
95 39183 Vicksburg MS 41% High 79/100
96 39192 West MS 41% High 85/100
97 39631 Centreville MS 41% High 72/100
98 39638 Gloster MS 41% High 79/100
99 39645 Liberty MS 41% High 81/100
100 39701 Columbus MS 41% High 60/100

Methodology

Infrastructure risk rankings combine four data sources, each weighted equally (25%): (1) EPA Drinking Water Infrastructure Needs Survey (DWINS 2023) — state-level 20-year funding gap per capita for pipe replacement, treatment, and storage; (2) Census ACS housing vintage — percentage of homes built before 1980, when lead solder and galvanized pipes were common; (3) EPA SDWIS violation and enforcement data — system-level compliance history; (4) Lead and Copper Rule indicators — service line material inventories and 90th percentile lead testing results. The combined score is normalized to a 0-100% probability scale.

Data sources: EPA DWINS 2023, Census ACS, EPA SDWIS, Lead and Copper Rule data. Last updated: 2026-06-04.

Frequently Asked Questions

What does pipe failure probability mean?

Pipe failure probability estimates the likelihood of water main breaks, lead contamination from corroded pipes, or service disruptions based on infrastructure age, state funding gaps, violation history, and lead indicators. It is not a prediction of imminent failure, but a risk assessment based on known factors.

How is infrastructure risk calculated?

The risk score combines four equally weighted factors: state-level infrastructure funding gap per capita (from EPA DWINS 2023), housing vintage (Census ACS pre-1980 housing percentage), water system violation and enforcement history (EPA SDWIS), and lead exposure indicators (service line probability and testing results).

What can homeowners do about aging infrastructure?

Test your tap water annually, especially for lead. Check if your home has a lead service line through your water utility. Consider a whole-house water filter (NSF/ANSI 53 certified). Review your water system Consumer Confidence Report for violation history.

Does high risk mean my water is unsafe right now?

Not necessarily. Infrastructure risk indicates long-term vulnerability, not current contamination. However, areas with aging pipes and high violation counts have a statistically higher chance of water quality issues. Regular testing is the best way to verify your water safety.

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Cómo se calcula esta clasificación, fuentes de datos y limitaciones: Metodología de clasificaciones →


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